| 摘要: |
| 基于 Landsat 8 影像数据，对东莞市松树林 (Pinus sp.)、杉木林 (Cunninghamia lanceolata)、针
叶混交林 3 种针叶类森林生物量进行估算，利用相关分析、主成分分析和逐步回归分析，建立针叶类森
林生物量遥感估算模型，其决定系数 (R2) 值分别为 0.880 9、 0.832 5、 0.964 0，均达显著水平。经适用性
检验，模型均达 0.05 显著水平，可用于东莞市针叶类森林生物量估算。 |
| 关键词: 遥感 针叶林 森林生物量 回归分析 |
| DOI： |
| 投稿时间：2017-08-02修订日期：2017-09-11 |
| 基金项目: |
|
| The Study on the Remote Sensing Model of Dongguan Conifer Forest Biomass |
| RUAN Lanjun,YANG Yanqiong |
| (College of Forestry and Landscape Architecture,South China Agriculture University,Guangdong) |
| Abstract: |
| Based on Landsat 8 image data, this paper estimates the biomass of three coniferous forest in
Dongguan, including Pinus forest, Cunninghamia lanceolata and coniferous mixed forest . By using correlation
analysis, principal component analysis and stepwise regression, a remote sensing estimation model of coniferous
forest biomass was established, and its determining coefficient (R2) value were 0.880 9, 0.832 5 and 0.964 0
respectively, which reached a significant level. The applicability test showed that the model reached 0.05
significant levels and could be used for estimating the biomass of coniferous forest in Dongguan. |
| Key words: remote sensing coniferous forest forest biomass regression analysis |
